Who each engine recommends
Position of every brand named in the latest run.
| Brand | ChatGPT | Perplexity | AI Mode | Mention rate |
|---|---|---|---|---|
| SnowflakeTop pick | #1 | #1 | #1 | |
| AWS | #6 | #6 | #2 | |
| BigQuery | #3 | #2 | #4 | |
| Databricks | #2 | #4 | #8 | |
| Amazon Redshift | #4 | #3 | #5 | |
| Microsoft Azure | #7 | #8 | #3 | |
| Microsoft Fabric | #5 | #5 | #6 | |
| Azure Synapse | — | #7 | #7 | |
| Apache Spark | #8 | — | — | |
| Fivetran | #9 | — | — | |
| Oracle Autonomous Data Warehouse | — | #9 | — | |
| ClickHouse | — | #10 | — | |
| Teradata | — | #11 | — | |
| IBM Db2 Warehouse | — | #12 | — | |
| Airbyte | — | #13 | — |
Responses
What each engine answered, and how the shortlist moved.
ChatGPT · run of Nov 3 · sentiment toward the top pick: → Mixed
Leading data warehouse platforms compared (2026) The five platforms I would put on the shortlist for an enterprise data warehouse evaluation are: Snowflake Databricks Google BigQuery Amazon Redshift Microsoft Fabric These platforms increasingly compete across traditional data warehousing, data engineering, business intelligence, machine learning, and generative AI. www.infoworld.comwww.byteplus.comwww.fivetran.com Executive comparison Qualitative assessment based on platform capabilities and…
- Snowflake — I can develop a detailed vendor evaluation scorecard comparing Snowflake, Databricks, BigQuery, Redshift and Fabric across approximately 25 criteria, including:.
- Databricks — I can develop a detailed vendor evaluation scorecard comparing Snowflake, Databricks, BigQuery, Redshift and Fabric across approximately 25 criteria, including:.
- BigQuery
- Amazon Redshift
- Microsoft Fabric
- AWS — Supports AWS, Azure and Google Cloud.
- Microsoft Azure — Supports AWS, Azure and Google Cloud.
- Apache Spark — Strong Apache Spark and distributed processing capabilities.
Perplexity · run of Nov 3 · sentiment toward the top pick: → Mixed
- Snowflake — The leading platforms are Snowflake, Google BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric.
- BigQuery — The leading platforms are Snowflake, Google BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric.
- Amazon Redshift — The leading platforms are Snowflake, Google BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric.
- Databricks — The leading platforms are Snowflake, Google BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric.
- Microsoft Fabric — The leading platforms are Snowflake, Google BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric.
- AWS — Choose Redshift when most data, identity, security, and pipelines are already in AWS.
- Azure Synapse
- Microsoft Azure — Choose Fabric when Power BI and Microsoft 365/Azure are central to the organization’s analytics strategy.
- Oracle Autonomous Data Warehouse
- ClickHouse — Choose ClickHouse for specialized real-time analytics, observability, product analytics, or very high query concurrency.
- Teradata — Choose Oracle ADW, Teradata, or IBM Db2 Warehouse mainly when existing enterprise investments, regulatory requirements, or legacy workloads make them strategically important.
- IBM Db2 Warehouse — Choose Oracle ADW, Teradata, or IBM Db2 Warehouse mainly when existing enterprise investments, regulatory requirements, or legacy workloads make them strategically important.
Google AI Mode · run of Nov 3 · sentiment toward the top pick: → Mixed
The leading cloud data warehouse and data platform market features a mix of dedicated data warehouses and broader data lakehouse architectures .
- Snowflake — Choosing the right option depends heavily on your existing cloud ecosystem, workload types, and AI/ML strategy.[](https://www.fortegrp.com/insights/best-cloud-data-warehouse)[](https://www.grazitti.com/blog/how-to-…
- AWS — Choosing the right option depends heavily on your existing cloud ecosystem, workload types, and AI/ML strategy.[](https://www.fortegrp.com/insights/best-cloud-data-warehouse)[](https://www.grazitti.com/blog/how-to-…
- Microsoft Azure — Core Architecture: Multi-cloud (AWS, Azure, GCP), completely decoupled storage and compute.
- BigQuery
- Amazon Redshift
- Microsoft Fabric — Microsoft Fabric / Azure Synapse.
- Azure Synapse — Microsoft Fabric / Azure Synapse.
- Databricks — Databricks SQL (Lakehouse Platform).
Citations
Sources the engines cited for this prompt.
| Source | Type | Citations | Cited by |
|---|---|---|---|
| databricks.com | Brand site · Databricks | 2 | ChatGPT |
| fortegrp.com | Web | 2 | Perplexity, Google AI Mode |
| ovaledge.com | Web | 2 | ChatGPT, Perplexity |
| adverity.com | Web | 1 | Perplexity |
| airbyte.com | Brand site · Airbyte | 1 | Perplexity |
| barc.com | Web | 1 | Perplexity |
| byteplus.com | Web | 1 | ChatGPT |
| clickhouse.com | Brand site · ClickHouse | 1 | Perplexity |
| domo.com | Web | 1 | Perplexity |
| fivetran.com | Brand site · Fivetran | 1 | ChatGPT |
| gartner.com | Analyst | 1 | Google AI Mode |
| grazitti.com | Web | 1 | Google AI Mode |
| guideflow.com | Web | 1 | Perplexity |
| infoworld.com | Web | 1 | ChatGPT |
| kingswaysoft.com | Web | 1 | Perplexity |
| skyvia.com | Web | 1 | ChatGPT |
| snowflake.com | Brand site · Snowflake | 1 | ChatGPT |
| toolradar.com | Web | 1 | Perplexity |